dify

dify/api/tasks/clean_document_task.py

@@ -0,0 +1,90 @@
+import logging
+import time
+
+import click
+from celery import shared_task
+from sqlalchemy import select
+
+from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
+from core.tools.utils.web_reader_tool import get_image_upload_file_ids
+from extensions.ext_database import db
+from extensions.ext_storage import storage
+from models.dataset import Dataset, DatasetMetadataBinding, DocumentSegment
+from models.model import UploadFile
+
+logger = logging.getLogger(__name__)
+
+
+@shared_task(queue="dataset")
+def clean_document_task(document_id: str, dataset_id: str, doc_form: str, file_id: str | None):
+    """
+    Clean document when document deleted.
+    :param document_id: document id
+    :param dataset_id: dataset id
+    :param doc_form: doc_form
+    :param file_id: file id
+
+    Usage: clean_document_task.delay(document_id, dataset_id)
+    """
+    logger.info(click.style(f"Start clean document when document deleted: {document_id}", fg="green"))
+    start_at = time.perf_counter()
+
+    try:
+        dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
+
+        if not dataset:
+            raise Exception("Document has no dataset")
+
+        segments = db.session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
+        # check segment is exist
+        if segments:
+            index_node_ids = [segment.index_node_id for segment in segments]
+            index_processor = IndexProcessorFactory(doc_form).init_index_processor()
+            index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
+
+            for segment in segments:
+                image_upload_file_ids = get_image_upload_file_ids(segment.content)
+                for upload_file_id in image_upload_file_ids:
+                    image_file = db.session.query(UploadFile).where(UploadFile.id == upload_file_id).first()
+                    if image_file is None:
+                        continue
+                    try:
+                        storage.delete(image_file.key)
+                    except Exception:
+                        logger.exception(
+                            "Delete image_files failed when storage deleted, \
+                                          image_upload_file_is: %s",
+                            upload_file_id,
+                        )
+                    db.session.delete(image_file)
+                db.session.delete(segment)
+
+            db.session.commit()
+        if file_id:
+            file = db.session.query(UploadFile).where(UploadFile.id == file_id).first()
+            if file:
+                try:
+                    storage.delete(file.key)
+                except Exception:
+                    logger.exception("Delete file failed when document deleted, file_id: %s", file_id)
+                db.session.delete(file)
+                db.session.commit()
+
+        # delete dataset metadata binding
+        db.session.query(DatasetMetadataBinding).where(
+            DatasetMetadataBinding.dataset_id == dataset_id,
+            DatasetMetadataBinding.document_id == document_id,
+        ).delete()
+        db.session.commit()
+
+        end_at = time.perf_counter()
+        logger.info(
+            click.style(
+                f"Cleaned document when document deleted: {document_id} latency: {end_at - start_at}",
+                fg="green",
+            )
+        )
+    except Exception:
+        logger.exception("Cleaned document when document deleted failed")
+    finally:
+        db.session.close()